Triple

T7116763
Position Surface form Disambiguated ID Type / Status
Subject Big Bertha howitzer E165838 entity
Predicate translationOfName P15 FINISHED
Object Big Bertha E165838 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Big Bertha | Statement: [Big Bertha howitzer, translationOfName, Big Bertha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Bertha
Context triple: [Big Bertha howitzer, translationOfName, Big Bertha]
  • A. Big Bertha howitzer chosen
    The Big Bertha howitzer was a massive German siege artillery piece used in World War I, renowned for its ability to destroy heavily fortified positions with long-range, high-caliber shells.
  • B. Paris Gun
    The Paris Gun was a long-range German artillery piece used in World War I to bombard Paris from unprecedented distances.
  • C. Schwerer Gustav railway gun
    The Schwerer Gustav railway gun was an enormous German World War II super-heavy artillery piece, one of the largest cannons ever built, designed to destroy heavily fortified targets.
  • D. Long Lance
    Long Lance is the Allied nickname for Japan’s Type 93 torpedo, a highly advanced and powerful World War II naval weapon renowned for its exceptional range and destructive capability.
  • E. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e617a528819085d4b8e1b5699966 completed March 27, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cc2bf2081908e912f26f29394bf completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:43 p.m.